Run python3 dev/update_changelog.py --prev-version 2.1...

Signed-off-by: mlflow-automation <[email protected]>

CHANGELOG.md

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 # CHANGELOG
 
+## 2.19.0 (2024-11-28)
+
+MLflow 2.19.0 includes several major features and improvements
+
+Features:
+
+- [] Add Anthropic autolog tracing integration (#13851, @gabrielfu)
+- [Tracking] Add an API for adding tags to an active trace. (#13828, @B-Step62)
+- [Tracking] [3/x] Support auto+manual tracing - DSPy (#13795, @B-Step62)
+- [Tracking] [2/x] Support auto+manual tracing - LlamaIndex (#13793, @B-Step62)
+- [Tracking] [1/x] Support auto+manual tracing - LangChain (#13790, @B-Step62)
+- [Models] Any type support (#13766, @serena-ruan)
+- [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#13513, @djliden)
+- [Tracking] LiteLLM tracing (#13585, @B-Step62)
+
+Bug fixes:
+
+- [Scoring] Fix spark_udf conditional check on remote spark-connect client or Databricks Serverless (#13827, @WeichenXu123)
+- [Models] Allow changing max_workers for built-in LLM-as-a-Judge metrics (#13858, @B-Step62)
+- [] Support saving all langchain runnables using code-based logging (#13821, @serena-ruan)
+
+Small bug fixes and documentation updates:
+
+#13891, #13863, #13859, #13850, #13844, #13835, #13818, @B-Step62; #13883, @daniellok-db; #13857, @stevenchen-db; #13882, #13879, #13881, #13869, #13870, #13868, #13854, #13849, #13847, #13836, #13823, #13811, #13820, @harupy; #13846, @serena-ruan; #13848, #13774, @TomeHirata; #13785, @Rick-McCoy
+
 ## 2.18.0 (2024-11-18)
 
 We are excited to announce the release of MLflow 2.18.0! This release includes a number of significant features, enhancements, and bug fixes.